Reference trajectory modification based on spatial iterative learning for contour control of 2-axis NC systems

Li, Jiangang, Wang, Yiming, Li, Yanan and Luo, Wenshu (2020) Reference trajectory modification based on spatial iterative learning for contour control of 2-axis NC systems. IEEE/ASME Transactions on Mechatronics. ISSN 1083-4435

[img] PDF - Accepted Version
Download (4MB)

Abstract

Contour error is a main factor that affects the quality of products in numerical control (NC) machining. This paper presents a contour control strategy based on digital curves for high-precision control of computer numerical control (CNC) machines. A contour error estimation algorithm is presented for digital curves based on a geometrical method. The dynamic model of the motion control system is transformed from time domain to space domain because the contour error is dependent on space instead of time. Spatial iterative learning control (sILC) is developed to reduce the contour error, by modifying the reference trajectory in the form of G code. This allows system improvement without interference of low-level controllers so it is applicable to many commercial controllers where interpolators and feed-drive controllers cannot be altered. The effectiveness of this method is verified by experiments on a NC machine, which have shown good performance not only for smooth trajectories but also for large curvature trajectories.

Item Type: Article
Additional Information: This research is supported by National Key R&D Program of China under grant number 2019YFB1703700 and National Natural Science Foundation of China under grant number U1913213.
Keywords: Contour error control, iterative learning control, CNC machines
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Depositing User: Lucy Arnold
Date Deposited: 19 Feb 2020 08:34
Last Modified: 18 Jun 2020 11:10
URI: http://sro.sussex.ac.uk/id/eprint/89979

View download statistics for this item

📧 Request an update